Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large. حسب Panfei Li (22379086)

Functional enrichment analyses of Co-genes. حسب Qingcong Zheng (11169094)

Graphical illustration of a spectral approach for training support vector machine. حسب Abeer Aljohani (18497914)

الموضوعات:

wIRBMO feature selection algorithm improving rate. حسب Chenyi Zhu (9383370)

الموضوعات:

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات:

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات:

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات:

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Fixed-dimensional multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

S- and V-Type transfer function diagrams. حسب Chenyi Zhu (9383370)

الموضوعات:

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... حسب Ali Talebi (7164203)

Data Sheet 1_Functional partitioning through competitive learning.pdf حسب Marius Tacke (22563344)

10-fold cross-validation evaluation of accuracy of animal tracking algorithms. حسب Catalin Mitelut (5587493)

Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx حسب Peng Liu (120506)

"…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"

Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

"…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"

Image 4_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

"…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"